Artificial Intelligence And Machine Learning Methods In Covid 19 And Related Health Diseases
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Artificial Intelligence And Machine Learning Methods In Covid 19 And Related Health Diseases
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Author : Victor Chang
language : en
Publisher: Springer Nature
Release Date : 2022-06-28
Artificial Intelligence And Machine Learning Methods In Covid 19 And Related Health Diseases written by Victor Chang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-28 with Technology & Engineering categories.
This Springer book provides a perfect platform to submit chapters that discuss the prospective developments and innovative ideas in artificial intelligence and machine learning techniques in the diagnosis of COVID-19. COVID-19 is a huge challenge to humanity and the medical sciences. So far as of today, we have been unable to find a medical solution (Vaccine). However, globally, we are still managing the use of technology for our work, communications, analytics, and predictions with the use of advancement in data science, communication technologies (5G & Internet), and AI. Therefore, we might be able to continue and live safely with the use of research in advancements in data science, AI, machine learning, mobile apps, etc., until we can find a medical solution such as a vaccine. We have selected eleven chapters after the vigorous review process. Each chapter has demonstrated the research contributions and research novelty. Each group of authors must fulfill strict requirements.
Artificial Intelligence And Machine Learning For Covid 19
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Author : Fadi Al-Turjman
language : en
Publisher: Springer Nature
Release Date : 2021-02-19
Artificial Intelligence And Machine Learning For Covid 19 written by Fadi Al-Turjman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-19 with Technology & Engineering categories.
This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) – from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.
Proceedings Of The 2023 International Conference On Image Algorithms And Artificial Intelligence Iciaai 2023
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Author : Pushpendu Kar
language : en
Publisher: Springer Nature
Release Date : 2023-11-25
Proceedings Of The 2023 International Conference On Image Algorithms And Artificial Intelligence Iciaai 2023 written by Pushpendu Kar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-25 with Computers categories.
This is an open access book. Scope of Conference 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI2023), which will be held from August 11 to August 13 in Singapore provides a forum for researchers and experts in different but related fields to discuss research findings. The scope of ICIAAI 2023 covers research areas such as imaging, algorithms and artificial intelligence. Related fields of research include computer software, programming languages, software engineering, computer science applications, artificial intelligence, Intelligent data analysis, deep learning, high-performance computing, signal processing, information systems, computer graphics, computer-aided design, Computer vision, etc. The objectives of the conference are: The conference aims to provide a platform for experts, scholars, engineers and technicians engaged in the research ofimage, algorithm and artificial intelligence to share scientific research results and cutting-edge technologies. The conference will discuss the academic trends and development trends of the related research fields of image, algorithm and artificial intelligence together, carry out discussions on current hot issues, and broaden research ideas. It will be a perfect gathering to strengthen academic research and discussion, promote the development and progress of relevant research and application, and promote the development of disciplines and promote talent training.
Machine Learning And Data Analytics For Predicting Managing And Monitoring Disease
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Author : Roy, Manikant
language : en
Publisher: IGI Global
Release Date : 2021-06-25
Machine Learning And Data Analytics For Predicting Managing And Monitoring Disease written by Roy, Manikant and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-25 with Computers categories.
Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.
Fuzzy Optimization Techniques In The Areas Of Science And Management
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Author : Santosh Kumar Das
language : en
Publisher: CRC Press
Release Date : 2022-10-17
Fuzzy Optimization Techniques In The Areas Of Science And Management written by Santosh Kumar Das and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-17 with Mathematics categories.
This book helps to enhance the application of fuzzy logic optimization in the areas of science and engineering. It includes implementation and models and paradigms, such as path planning and routing design for different wireless networks, organization behavior strategies models, and so forth. It also: Explains inventory control management, uncertainties management, loss minimization, game optimization, data analysis and prediction, different decision-making system and management, and so forth Describes applicability of fuzzy optimization techniques in areas of science and management Resolves several issues based on uncertainty using member function Helps map different problems based on mathematical models Includes issues and problems based on linear and nonlinear optimizations Focuses on management science such as manpower management and inventory planning This book is aimed at researchers and graduate students in signal processing, power systems, systems and industrial engineering, and computer networks.
Machine Vision And Augmented Intelligence
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Author : Koushlendra Kumar Singh
language : en
Publisher: Springer Nature
Release Date : 2024-12-14
Machine Vision And Augmented Intelligence written by Koushlendra Kumar Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-14 with Computers categories.
This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2023). The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.
Artificial Intelligence In Covid 19
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Author : Niklas Lidströmer
language : en
Publisher: Springer Nature
Release Date : 2022-11-09
Artificial Intelligence In Covid 19 written by Niklas Lidströmer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-09 with Medical categories.
This book deals with the advantages of using artificial intelligence (AI) in the fight against the COVID-19 and against future pandemics that could threat humanity and our environment. This book is a practical, scientific and clinically relevant example of how medicine and mathematics will fuse in the 2020s, out of external pandemic pressure and out of scientific evolutionary necessity. This book contains a unique blend of the world's leading researchers, both in medicine, mathematics, computer science, clinical and preclinical medicine, and presents the research front of the usage of AI against pandemics. Equipped with this book the reader will learn about the latest AI advances against COVID-19, and how mathematics and algorithms can aid in preventing its spreading course, treatments, diagnostics, vaccines, clinical management and future evolution.
Deep Learning And Visual Artificial Intelligence
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Author : Vishal Goar
language : en
Publisher: Springer Nature
Release Date : 2024-09-17
Deep Learning And Visual Artificial Intelligence written by Vishal Goar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-17 with Computers categories.
This book features high-quality research papers presented at the International Conference on Deep Learning and Visual Artificial Intelligence (ICDLAI), held at Government Engineering College Bikaner, Bikaner, India, during March 16–17, 2024. The book presents diverse range of topics, including advanced deep learning techniques, neural networks, image processing, object detection, and pattern recognition.
Coronavirus Disease Covid 19 Pathophysiology Epidemiology Clinical Management And Public Health Response Volume I B
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Author : Zisis Kozlakidis
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-25
Coronavirus Disease Covid 19 Pathophysiology Epidemiology Clinical Management And Public Health Response Volume I B written by Zisis Kozlakidis and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-25 with Medical categories.
Volume I.B An outbreak of a respiratory disease first reported in Wuhan, China in December 2019 and the causative agent was discovered in January 2020 to be a novel betacoronovirus of the same subgenus as SARS-CoV and named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Coronavirus disease 2019 (COVID-19) has rapidly disseminated worldwide, with clinical manifestations ranging from mild respiratory symptoms to severe pneumonia and a fatality rate estimated around 2%. Person to person transmission is occurring both in the community and healthcare settings. The World Health Organization (WHO) has recently declared the COVID-19 epidemic a public health emergency of international concern. The ongoing outbreak presents many clinical and public health management challenges due to limited understanding of viral pathogenesis, risk factors for infection, natural history of disease including clinical presentation and outcomes, prognostic factors for severe illness, period of infectivity, modes and extent of virus inter-human transmission, as well as effective preventive measures and public health response and containment interventions. There are no antiviral treatment nor vaccine available but fast track research and development efforts including clinical therapeutic trials are ongoing across the world. Managing this serious epidemic requires the appropriate deployment of limited human resources across all cadres of health care and public health staff, including clinical, laboratory, managerial and epidemiological data analysis and risk assessment experts. It presents challenges around public communication and messaging around risk, with the potential for misinformation and disinformation. Therefore, integrated operational research and intervention, learning from experiences across different fields and settings should contribute towards better understanding and managing COVID-19. This Research Topic aims to highlight interdisciplinary research approaches deployed during the COVID-19 epidemic, addressing knowledge gaps and generating evidence for its improved management and control. It will incorporate critical, theoretically informed and empirically grounded original research contributions using diverse approaches, experimental, observational and intervention studies, conceptual framing, expert opinions and reviews from across the world. The Research Topic proposes a multi-dimensional approach to improving the management of COVID-19 with scientific contributions from all areas of virology, immunology, clinical microbiology, epidemiology, therapeutics, communications as well as infection prevention and public health risk assessment and management studies.
Computational Intelligence Aided Systems For Healthcare Domain
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Author : Akshansh Gupta
language : en
Publisher: CRC Press
Release Date : 2023-06-14
Computational Intelligence Aided Systems For Healthcare Domain written by Akshansh Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-14 with Computers categories.
This book covers recent advances in artificial intelligence, smart computing, and their applications in augmenting medical and health care systems. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical. This book: Presents architecture, characteristics, and applications of artificial intelligence and smart computing in health care systems Highlights privacy issues faced in health care and health informatics using artificial intelligence and smart computing technologies Discusses nature-inspired computing algorithms for the brain-computer interface Covers graph neural network application in the medical domain Provides insights into the state-of-the-art artificial intelligence and smart computing enabling and emerging technologies This book discusses recent advances and applications of artificial intelligence and smart technologies in the field of healthcare. It highlights privacy issues faced in health care and health informatics using artificial intelligence and smart computing technologies. It covers nature-inspired computing algorithms such as genetic algorithms, particle swarm optimization algorithms, and common scrambling algorithms to study brain-computer interfaces. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.